Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

MATLAB sample codes for mobile robot navigation

Multilanguage (C#/Matlab/Rust) library for solving navigation (2D/3D) & geodetic problems: Multilateration (true range), Time-Of-Arrival (TOA), Time-Difference-Of-Arrival (TDOA), Angle-Of-Arrival AOA (Direction-Of-Arrival, DOA); Direct & inverse geodetic problems: Vincenty equations, Haversine formula; Virtual Long Baseline navigation (VLBL) etc.

Optimising chemical reactions using machine learning

LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ

Python implementation of some numerical (optimization) methods

A library that provides routines to compute the solutions to systems of nonlinear equations.

General Purpose Optimization in R using C++: provides a unified C++ wrapper to call functions of the algorithms underlying the optim() solver

A Python easy implementation of the Nelder-Mead method

Common Lisp implementation of (grid restrained) Nelder-Mead

A Python package for constrained Nelder-Mead optimization.

Globalized Nelder-Mead method, implemented for MATLAB (compatible with GNU Octave)

Fitting tool for "Linearly Transformed Cosines" parameters, useful for implementing area lights.

Supply Chain Reinforcement Learning

SwiftHBV is a HBV hydrological model package for Swift. Calibration with the Nelder–Mead method.

numerical optimization subroutines in Fortran generated by ChatGPT-4

Implementation of the simplest and at the same time effective optimization method — the Nelder—Mead method

SABR NelderMead volatility

A multidimensional discrete hill climbing heuristic search algorithm implemented in Python

Classification of Alan Miller's Fortran codes for statistics and numerical methods